CN115826546A - Parameter adjusting method and system based on production line reaction kettle and readable storage medium - Google Patents
Parameter adjusting method and system based on production line reaction kettle and readable storage medium Download PDFInfo
- Publication number
- CN115826546A CN115826546A CN202310135182.2A CN202310135182A CN115826546A CN 115826546 A CN115826546 A CN 115826546A CN 202310135182 A CN202310135182 A CN 202310135182A CN 115826546 A CN115826546 A CN 115826546A
- Authority
- CN
- China
- Prior art keywords
- data
- parameter
- target
- product
- acquiring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Physical Or Chemical Processes And Apparatus (AREA)
Abstract
The invention discloses a parameter adjusting method, a system and a readable storage medium based on a production line reaction kettle, wherein the method comprises the following steps: in the material production process, acquiring parameter data of a reaction kettle, wherein the parameter data comprises temperature data and pressure data; acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data; acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring a target inflection point based on the inflection point; and acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user terminal, wherein the target parameter at least comprises a target temperature value and a target pressure value. The invention can acquire the production parameters of the reaction kettle in real time for data analysis, thereby acquiring the optimal temperature and pressure required by the optimal yield and quality during material production.
Description
Technical Field
The invention relates to the technical field of production and manufacturing and data processing, in particular to a parameter adjusting method and system based on a production line reaction kettle and a readable storage medium.
Background
The broad understanding of the reaction kettle is that the reaction kettle is a container for physical or chemical reaction, and the heating, evaporation, cooling and low-speed mixing functions required by the process are realized through the structural design and parameter configuration of the container. The reaction kettle is widely applied to pressure vessels for petroleum, chemical engineering, rubber, pesticides, dyes, medicines and foods, and is used for completing technological processes such as vulcanization, nitration, hydrogenation, alkylation, polymerization, condensation and the like, such as a reactor, a reaction kettle, a decomposition kettle, a polymerization kettle and the like; the material is generally carbon manganese steel, stainless steel, zirconium, nickel-based (Hastelloy, monel, inconel) alloy and other composite materials.
The temperature and the pressure required by different materials in the reaction kettle are different, and the two factors of the temperature and the pressure have great influence on the yield and the quality, but at present, a set of systematic statistical analysis tool is not provided, so that the statistics and the analysis are carried out on the pressure, the temperature, the yield and the quality of different materials, a reference basis is provided for production, and the production quality and the yield are improved.
Disclosure of Invention
The invention aims to provide a parameter adjusting method, a system and a readable storage medium based on a production line reaction kettle, which can acquire the production parameters of the reaction kettle in real time for data analysis so as to acquire the optimal temperature and pressure required by the optimal yield and quality during material production.
The invention provides a parameter adjusting method based on a production line reaction kettle, which comprises the following steps:
in the material production process, acquiring parameter data of a reaction kettle, wherein the parameter data comprises temperature data and pressure data;
acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data;
acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring a target inflection point based on the inflection point;
and acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user side, wherein the target parameter at least comprises a target temperature value and a target pressure value.
In this scheme, gather reation kettle's parameter data, specifically include: in the material production process, parameter data in the reaction kettle are collected based on a preset sensor group, wherein the sensor group comprises a temperature sensor and a pressure sensor, and the sensor group is connected based on the communication of the Internet of things.
In this scheme, the product data that the acquisition material production ended, based on the product data with parameter data inputs and analyzes in the statistical analysis model that predetermines, specifically includes:
acquiring material yield data and material quality data input by a user side to obtain the product data;
performing data processing operation based on the parameter data and the product data, wherein the data processing operation comprises data cleaning, data filtering and data fusion;
and taking the parameter data after data processing as independent variable factors, taking the product data after data processing as dependent variable factors, and inputting the independent variable factors and the dependent variable factors into the statistical analysis model for analysis.
In this scheme, the obtaining all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and obtaining the target inflection point based on the inflection point value specifically includes:
obtaining a relation curve of the parameter data and the product data by taking the independent variable factor as a horizontal axis coordinate and taking the dependent variable factor as a vertical axis coordinate;
performing curve extraction based on the relation curve to obtain a temperature parameter curve taking a temperature value as an independent variable and a pressure parameter curve taking a pressure value as an independent variable;
performing coordinate system fusion based on the temperature parameter curve and the pressure parameter curve to obtain the temperature pressure-product parameter curve, wherein a horizontal axis coordinate comprises a temperature value, a first vertical axis coordinate comprises a pressure value, and a second vertical axis coordinate is a product parameter value;
and obtaining all inflection values based on the fused coordinate system, and obtaining the maximum inflection value in the second longitudinal axis coordinate as the target inflection point.
In this scheme, the obtaining a corresponding target parameter based on the target inflection point and outputting the target parameter to the user side specifically includes:
acquiring a target temperature value based on the horizontal axis coordinate of the target inflection point;
acquiring a target pressure value based on the first longitudinal axis coordinate of the target inflection point;
obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point;
and outputting the target temperature value, the target pressure value and the product parameter value to a user terminal.
In the scheme, the product parameter value is obtained based on a preset calculation formula, wherein the calculation formula is
Wherein, in the step (A),
、
is a parameter factor and
，
for the value of the parameter of the product,
for the purpose of said material yield data,
and obtaining the material quality data.
The second aspect of the present invention further provides a parameter adjustment system based on a production line reactor, including a memory and a processor, where the memory includes a parameter adjustment method program based on a production line reactor, and when executed by the processor, the parameter adjustment method program based on a production line reactor realizes the following steps:
in the material production process, acquiring parameter data of a reaction kettle, wherein the parameter data comprises temperature data and pressure data;
acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data;
acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring a target inflection point based on the inflection point;
and acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user terminal, wherein the target parameter at least comprises a target temperature value and a target pressure value.
In this scheme, gather reation kettle's parameter data, specifically include: in the material production process, gather the parameter data in the reation kettle based on predetermined sensor group, wherein, sensor group includes temperature sensor and pressure sensor, just sensor group is based on thing networking communication connection.
In this scheme, the product data that the acquisition material production ended, based on the product data with parameter data inputs and analyzes in the statistical analysis model that predetermines, specifically includes:
acquiring material yield data and material quality data input by a user side to obtain the product data;
performing data processing operation based on the parameter data and the product data, wherein the data processing operation comprises data cleaning, data filtering and data fusion;
and taking the parameter data after data processing as independent variable factors, taking the product data after data processing as dependent variable factors, and inputting the independent variable factors and the dependent variable factors into the statistical analysis model for analysis.
In this scheme, the obtaining all inflection values of the temperature-pressure-product parameter curve in the product data based on the analysis result, and obtaining the target inflection point based on the inflection value specifically include:
obtaining a relation curve of the parameter data and the product data by taking the independent variable factor as a horizontal axis coordinate and taking the dependent variable factor as a vertical axis coordinate;
performing curve extraction based on the relation curve to obtain a temperature parameter curve taking a temperature value as an independent variable and a pressure parameter curve taking a pressure value as an independent variable;
performing coordinate system fusion based on the temperature parameter curve and the pressure parameter curve to obtain the temperature pressure-product parameter curve, wherein a horizontal axis coordinate comprises a temperature value, a first vertical axis coordinate comprises a pressure value, and a second vertical axis coordinate is a product parameter value;
and obtaining all inflection values based on the fused coordinate system, and obtaining the maximum inflection value in the second longitudinal axis coordinate as the target inflection point.
In this scheme, the obtaining of the corresponding target parameter based on the target inflection point and the outputting of the target parameter to the user side specifically include:
acquiring a target temperature value based on the horizontal axis coordinate of the target inflection point;
acquiring a target pressure value based on the first longitudinal axis coordinate of the target inflection point;
obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point;
and outputting the target temperature value, the target pressure value and the product parameter value to a user terminal.
In the scheme, the product parameter value is obtained based on a preset calculation formula, wherein the calculation formula is
Wherein, in the step (A),
、
is a parameter factorA son and
，
for the value of the parameter of the product,
for the purpose of said material yield data,
and obtaining the material quality data.
A third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a process line reactor-based parameter adjustment method program, and when the process line reactor-based parameter adjustment method program is executed by a processor, the method implements the steps of the process line reactor-based parameter adjustment method as described in any one of the above.
The parameter adjusting method, the parameter adjusting system and the readable storage medium based on the production line reaction kettle can acquire and store the production parameters of the reaction kettle in real time, so that data analysis is performed based on the production parameters, and after cleaning, filtering and modeling are performed, the optimal temperature and pressure required by the optimal yield and quality of materials during production are acquired, so that the yield of material production can be guaranteed, and the production efficiency can be improved.
Drawings
FIG. 1 is a flow chart of a parameter adjustment method based on a production line reaction kettle according to the present invention;
FIG. 2 is a schematic view of an inflection point of a parameter adjustment method based on a production line reactor according to the present invention;
FIG. 3 shows a block diagram of a parameter adjustment system based on a production line reactor of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a parameter adjustment method based on a production line reaction kettle according to the present application.
As shown in fig. 1, the present application discloses a parameter adjustment method based on a production line reaction kettle, comprising the following steps:
s102, collecting parameter data of a reaction kettle in the material production process, wherein the parameter data comprises temperature data and pressure data;
s104, acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data;
s106, acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring target inflection points based on the inflection points;
and S108, acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user terminal, wherein the target parameter at least comprises a target temperature value and a target pressure value.
It should be noted that, in this embodiment, during material production, parameter data of a reaction kettle and product data after production in the production process are collected, where the parameter data include temperature data and pressure data, and the product data include material yield data and material quality data, and the parameter data and the product data are input into a statistical analysis model for analysis, so as to obtain all inflection values of a temperature pressure-product parameter curve in the product data based on an analysis result, and obtain a target inflection point based on the inflection point value, so as to obtain a corresponding target parameter based on the target inflection point, so as to output the target parameter to a user side, where the target parameter includes a target temperature value and a target pressure value, that is, an optimal temperature and an optimal pressure required for optimal yield and quality in production of an object material are provided according to the present application.
According to the embodiment of the invention, the acquiring of the parameter data of the reaction kettle specifically comprises the following steps: in the material production process, parameter data in the reaction kettle are collected based on a preset sensor group, wherein the sensor group comprises a temperature sensor and a pressure sensor, and the sensor group is connected based on the communication of the Internet of things.
It should be noted that, in this embodiment, be provided with in the reation kettle sensor group, specifically include temperature sensor and pressure sensor, wherein, temperature sensor and pressure sensor pass through thing networking communication connection, specifically, based on temperature sensor gathers reation kettle's temperature data, based on pressure sensor gathers reation kettle's pressure data, thereby obtains parameter data.
According to the embodiment of the present invention, the obtaining of the product data of the material production completion, and inputting the product data and the parameter data into a preset statistical analysis model for analysis includes:
acquiring material yield data and material quality data input by a user side to obtain the product data;
performing data processing operation based on the parameter data and the product data, wherein the data processing operation comprises data cleaning, data filtering and data fusion;
and taking the parameter data after data processing as independent variable factors, taking the product data after data processing as dependent variable factors, and inputting the independent variable factors and the dependent variable factors into the statistical analysis model for analysis.
It should be noted that, in this embodiment, after the production is finished, the product data is obtained by obtaining material yield data and material quality data input by a user, where after the product data is obtained, data processing operations are performed based on the parameter data and the product data, specifically including data cleaning, data filtering, and data fusion, and a specific data processing process is not described herein any more, the parameter data after the data processing is used as an independent variable factor, and the product data after the data processing is used as a dependent variable factor, so that the independent variable factor and the dependent variable factor are input to the statistical analysis model for analysis, where the statistical analysis model is an analysis model of yield and quantity of different products under each temperature and pressure collocation.
According to the embodiment of the present invention, the obtaining of all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result and the obtaining of the target inflection point based on the inflection points specifically include:
obtaining a relation curve of the parameter data and the product data by taking the independent variable factor as a horizontal axis coordinate and taking the dependent variable factor as a vertical axis coordinate;
performing curve extraction based on the relation curve to obtain a temperature parameter curve taking a temperature value as an independent variable and a pressure parameter curve taking a pressure value as an independent variable;
performing coordinate system fusion based on the temperature parameter curve and the pressure parameter curve to obtain the temperature pressure-product parameter curve, wherein a horizontal axis coordinate comprises a temperature value, a first vertical axis coordinate comprises a pressure value, and a second vertical axis coordinate is a product parameter value;
and obtaining all inflection values based on the fused coordinate system, and obtaining the maximum inflection value in the second longitudinal axis coordinate as the target inflection point.
It should be noted that, in this embodiment, the relationship curve between the parameter data and the product data is obtained based on the independent variable factor as the coordinate of the horizontal axis and the dependent variable factor as the coordinate of the vertical axis, wherein the relationship curve includes a temperature parameter curve using the temperature value as the independent variable and a pressure parameter curve using the pressure value as the independent variable; fusing a coordinate system based on the temperature parameter curve and the pressure parameter curve to obtain the temperature-pressure-product parameter curve,the abscissa includes the temperature value
In deg.C, the first ordinate axis includes the pressure value
In the unit of
The second ordinate is the product parameter value
And acquiring all inflection points based on the temperature pressure-product parameter curve, and acquiring the target inflection point according to the maximum inflection point value in the second longitudinal axis coordinate.
According to the embodiment of the present invention, the obtaining of the corresponding target parameter based on the target inflection point and the outputting of the target parameter to the user side specifically includes:
acquiring a target temperature value based on the horizontal axis coordinate of the target inflection point;
acquiring a target pressure value based on the first longitudinal axis coordinate of the target inflection point;
obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point;
and outputting the target temperature value, the target pressure value and the product parameter value to a user side.
In this embodiment, as shown in fig. 2, the target temperature value is obtained based on the abscissa of the target inflection point
Accordingly, the temperature value
The value range of the target inflection point is 100-200 ℃, and the target pressure value is obtained based on the first longitudinal axis coordinate of the target inflection point
Accordingly, the pressure value
Has a value range of' 0.2
-0.4
"; obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point
Wherein the target temperature value
Is "180 ℃", the target pressure value
Is "0.366
”。
According to the embodiment of the invention, the product parameter value is obtained based on a preset calculation formula, wherein the calculation formula is
Wherein, in the step (A),
、
is a parameter factor and
，
for the value of the parameter of the product,
for the purpose of said material yield data,
and obtaining the material quality data.
It should be noted that, in the embodiment, the material yield data and the material quality data are input from the user side, so that
、
Is a known condition, and
、
is a parameter factor, is conditional (i.e. is
) The parameter values are also well set, for example
、
。
It is worth mentioning that the method further comprises detecting the product data, specifically comprising:
acquiring material yield data and material quality data input by the user side;
comparing the material yield data to eliminate yield error data;
and comparing data based on the material quality data to eliminate material error data.
It should be noted that, in this embodiment, since the product data is input by the user side in the above embodiment, there may be a problem of erroneous input when data is input manually, and therefore, the product data needs to be detected, wherein data comparison is performed based on the material yield data to remove yield error data; and performing data comparison based on the material quality data to remove material error data, wherein the specific data comparison mode comprises the difference of adjacent data volumes or the change rate of the adjacent data volumes, when in specific application, performing data comparison on the material yield, setting a corresponding limit threshold by taking the difference of the adjacent data volumes as an example, and comparing the corresponding limit threshold with the difference of the adjacent data volumes, if the difference exceeds the limit threshold, removing the error data.
It should be noted that the step of removing the erroneous data specifically includes:
acquiring difference value arrangement of adjacent data quantities;
acquiring continuous difference values exceeding a limit threshold value as reference data, wherein the number of the reference data is two;
error data is identified based on the reference data to cull error data.
It should be noted that, in this embodiment, when performing difference calculation on adjacent data amounts, on the premise of ensuring that the first data and the last data are correct, difference permutation of the adjacent data amounts is obtained, and if any one of the data amounts is wrong, the difference obtained by calculation on the adjacent data will exceed the limit threshold, so that the continuous difference exceeding the limit threshold is obtained as reference data, three continuous data amounts during the difference calculation can be obtained based on the two reference data, and the middle data amount is taken as wrong data for elimination.
It is worth mentioning that the method further comprises identifying limit data based on the sensor group, specifically comprising:
when the parameter data of the reaction kettle are collected based on the sensor group, the collected parameter data are compared with a preset safety value, wherein,
comparing the collected temperature data with a preset temperature safety value, and if the collected temperature data is higher than the temperature safety value, alarming;
and comparing the collected pressure data with a preset pressure safety value, and if the collected pressure data is higher than the pressure safety value, alarming.
It should be noted that, in this embodiment, the temperature and the pressure that each reaction kettle can bear are all different, so the parameter data of the reaction kettle can be collected by means of the sensor group while the state of the reaction kettle is monitored, the comparison is performed based on the safety values corresponding to the reaction kettles, wherein the safety values include a temperature safety value and a pressure safety value, when the collected temperature data is higher than the temperature safety value, an alarm is performed, and when the collected pressure data is higher than the pressure safety value, an alarm is performed, so as to ensure the stability of the production line.
FIG. 3 shows a block diagram of a parameter adjustment system based on a production line reactor according to the present invention.
As shown in fig. 3, the present invention discloses a parameter adjustment system based on a production line reactor, which includes a memory and a processor, wherein the memory includes a parameter adjustment method program based on the production line reactor, and when executed by the processor, the parameter adjustment method program based on the production line reactor implements the following steps:
in the material production process, acquiring parameter data of a reaction kettle, wherein the parameter data comprises temperature data and pressure data;
acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data;
acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring a target inflection point based on the inflection point;
and acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user terminal, wherein the target parameter at least comprises a target temperature value and a target pressure value.
It should be noted that, in this embodiment, during material production, parameter data of a reaction kettle in a production process and product data after production are collected, where the parameter data include temperature data and pressure data, and the product data include material yield data and material quality data, the parameter data and the product data are input into a statistical analysis model for analysis, so as to obtain all inflection points of a temperature pressure-product parameter curve in the product data based on an analysis result, and obtain a target inflection point based on the inflection point value, so as to obtain a corresponding target parameter based on the target inflection point, so as to output the target parameter to a user side, where the target parameter includes a target temperature value and a target pressure value, that is, an optimal temperature and an optimal pressure required for optimal yield and quality when an object material is extracted according to this application.
According to the embodiment of the invention, the acquiring of the parameter data of the reaction kettle specifically comprises the following steps: in the material production process, parameter data in the reaction kettle are collected based on a preset sensor group, wherein the sensor group comprises a temperature sensor and a pressure sensor, and the sensor group is connected based on the communication of the Internet of things.
It should be noted that, in this embodiment, be provided with in the reation kettle sensor group, specifically include temperature sensor and pressure sensor, wherein, temperature sensor and pressure sensor pass through thing networking communication connection, specifically, based on temperature sensor gathers reation kettle's temperature data, based on pressure sensor gathers reation kettle's pressure data, thereby obtains parameter data.
According to the embodiment of the present invention, the obtaining of the product data of the material production completion, and inputting the product data and the parameter data into a preset statistical analysis model for analysis includes:
acquiring material yield data and material quality data input by a user side to obtain the product data;
performing data processing operation based on the parameter data and the product data, wherein the data processing operation comprises data cleaning, data filtering and data fusion;
and taking the parameter data after data processing as independent variable factors, taking the product data after data processing as dependent variable factors, and inputting the independent variable factors and the dependent variable factors into the statistical analysis model for analysis.
It should be noted that, in this embodiment, after production is finished, the product data is obtained by specifically obtaining material yield data and material quality data input by a user side, where after the product data is obtained, data processing operations are performed based on the parameter data and the product data, specifically including data cleaning, data filtering, and data fusion, a specific data processing process is not described herein, the parameter data after data processing is used as an independent variable factor, and the product data after data processing is used as a dependent variable factor, so that the independent variable factor and the dependent variable factor are input into the statistical analysis model for analysis, and the statistical analysis model is an analysis model of yield and quantity of different products under each temperature and pressure collocation.
According to the embodiment of the present invention, the obtaining of all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result and the obtaining of the target inflection point based on the inflection points specifically include:
obtaining a relation curve of the parameter data and the product data by taking the independent variable factor as a horizontal axis coordinate and taking the dependent variable factor as a vertical axis coordinate;
performing curve extraction based on the relation curve to obtain a temperature parameter curve taking a temperature value as an independent variable and a pressure parameter curve taking a pressure value as an independent variable;
performing coordinate system fusion based on the temperature parameter curve and the pressure parameter curve to obtain the temperature pressure-product parameter curve, wherein a horizontal axis coordinate comprises a temperature value, a first vertical axis coordinate comprises a pressure value, and a second vertical axis coordinate is a product parameter value;
and obtaining all inflection values based on the fused coordinate system, and obtaining the maximum inflection value in the second longitudinal axis coordinate as the target inflection point.
It should be noted that, in this embodiment, the relationship curve between the parameter data and the product data is obtained based on the independent variable factor as the abscissa and the dependent variable factor as the ordinate, wherein the relationship curve includes a temperature parameter curve using the temperature value as the independent variable and a pressure parameter curve using the pressure value as the independent variableA pressure parameter curve with a value as an independent variable; fusing a coordinate system based on the temperature parameter curve and the pressure parameter curve to obtain the temperature pressure-product parameter curve, wherein the horizontal axis coordinate comprises a temperature value
In degrees C, the first ordinate axis coordinate includes the pressure value
In the unit of
The second ordinate is the product parameter value
And acquiring all inflection values based on the temperature pressure-product parameter curve, and acquiring the target inflection point according to the maximum inflection point value in the second longitudinal axis coordinate.
According to the embodiment of the present invention, the obtaining of the corresponding target parameter based on the target inflection point and the outputting of the target parameter to the user side specifically includes:
acquiring a target temperature value based on the horizontal axis coordinate of the target inflection point;
acquiring a target pressure value based on the first longitudinal axis coordinate of the target inflection point;
obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point;
and outputting the target temperature value, the target pressure value and the product parameter value to a user side.
In the present embodiment, as shown in fig. 2, the target temperature value is obtained based on the abscissa of the target inflection point
Accordingly, the temperature value
The value range of the target inflection point is 100-200 ℃, and the target pressure value is obtained based on the first longitudinal axis coordinate of the target inflection point
Accordingly, the pressure value
Has a value range of "0.2
-0.4
"; obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point
Wherein the target temperature value
Is "180 ℃", the target pressure value
Is "0.366
”。
According to the embodiment of the invention, the product parameter value is obtained based on a preset calculation formula, wherein the calculation formula is
Wherein, in the step (A),
、
is a parameter factor and
，
for the value of the parameter of the product,
for the purpose of said material yield data,
and obtaining the material quality data.
It should be noted that, in this embodiment, the material yield data and the material quality data are input from the user side, so that the material yield data and the material quality data are input from the user side
、
Is a known condition, and
、
is a parameter factor, is conditional (i.e. is
) The parameter values are also well set, for example
、
。
It is worth mentioning that the method further comprises detecting the product data, specifically comprising:
acquiring material yield data and material quality data input by the user side;
performing data comparison based on the material yield data to eliminate yield error data;
and comparing data based on the material quality data to eliminate material error data.
It should be noted that, in this embodiment, since the product data is input by the user side in the above embodiment, there may be a problem of erroneous input when data is input manually, and therefore, the product data needs to be detected, wherein data comparison is performed based on the material yield data to remove yield error data; and performing data comparison based on the material quality data to remove material error data, wherein the specific data comparison mode comprises the difference of adjacent data volumes or the change rate of the adjacent data volumes, when in specific application, performing data comparison on the material yield, setting a corresponding limit threshold by taking the difference of the adjacent data volumes as an example, and comparing the corresponding limit threshold with the difference of the adjacent data volumes, if the difference exceeds the limit threshold, removing the error data.
It is worth mentioning that the removing of the erroneous data specifically includes:
acquiring difference value arrangement of adjacent data quantities;
acquiring continuous difference values exceeding a limit threshold value as reference data, wherein the number of the reference data is two;
error data is identified based on the reference data to cull error data.
It should be noted that, in this embodiment, when performing difference calculation on adjacent data amounts, on the premise of ensuring that the first data and the last data are correct, difference permutation of the adjacent data amounts is obtained, and if any one of the data amounts is wrong, the difference obtained by calculation on the adjacent data will exceed the limit threshold, so that the continuous difference exceeding the limit threshold is obtained as reference data, three continuous data amounts during the difference calculation can be obtained based on the two reference data, and the middle data amount is taken as wrong data for elimination.
It is worth mentioning that the method further comprises identifying limit data based on the sensor group, specifically comprising:
when the parameter data of the reaction kettle are collected based on the sensor group, the collected parameter data are compared with a preset safety value, wherein,
comparing the collected temperature data with a preset temperature safety value, and if the collected temperature data is higher than the temperature safety value, alarming;
and comparing the acquired pressure data with a preset pressure safety value, and if the acquired pressure data is higher than the pressure safety value, alarming.
It should be noted that, in this embodiment, the temperature and the pressure that each reaction kettle can bear are all different, so the parameter data of the reaction kettle can be collected by means of the sensor group while the state of the reaction kettle is monitored, the comparison is performed based on the safety values corresponding to the reaction kettles, wherein the safety values include a temperature safety value and a pressure safety value, when the collected temperature data is higher than the temperature safety value, an alarm is performed, and when the collected pressure data is higher than the pressure safety value, an alarm is performed, so as to ensure the stability of the production line.
A third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a parameter adjustment method based on a production line reactor, and when the program of the parameter adjustment method based on the production line reactor is executed by a processor, the method implements the steps of the parameter adjustment method based on the production line reactor as described in any one of the above.
The parameter adjusting method, the parameter adjusting system and the readable storage medium based on the production line reaction kettle can acquire and store the production parameters of the reaction kettle in real time, so that data analysis is performed based on the production parameters, and after cleaning, filtering and modeling are performed, the optimal temperature and pressure required by the optimal yield and quality of materials during production are acquired, so that the yield of material production can be guaranteed, and the production efficiency can be improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or in other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Claims (10)
1. A parameter adjusting method based on a production line reaction kettle is characterized by comprising the following steps:
in the material production process, acquiring parameter data of a reaction kettle, wherein the parameter data comprises temperature data and pressure data;
acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data;
acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring a target inflection point based on the inflection point;
and acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user side, wherein the target parameter at least comprises a target temperature value and a target pressure value.
2. The parameter adjustment method based on the production line reaction kettle as claimed in claim 1, wherein the collecting of the parameter data of the reaction kettle specifically comprises: in the material production process, gather the parameter data in the reation kettle based on predetermined sensor group, wherein, sensor group includes temperature sensor and pressure sensor, just sensor group is based on thing networking communication connection.
3. The method for adjusting parameters based on production line reactors according to claim 2, wherein the obtaining of product data of material production completion, the inputting of the product data and the parameter data into a preset statistical analysis model for analysis based on the product data and the parameter data specifically comprises:
acquiring material yield data and material quality data input by a user side to obtain the product data;
performing data processing operation based on the parameter data and the product data, wherein the data processing operation comprises data cleaning, data filtering and data fusion;
and taking the parameter data after data processing as independent variable factors, taking the product data after data processing as dependent variable factors, and inputting the independent variable factors and the dependent variable factors into the statistical analysis model for analysis.
4. The method for adjusting parameters based on production line reactors according to claim 3, wherein the obtaining of all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result and the obtaining of the target inflection point based on the inflection points comprise:
obtaining a relation curve of the parameter data and the product data by taking the independent variable factor as a horizontal axis coordinate and taking the dependent variable factor as a vertical axis coordinate;
performing curve extraction based on the relation curve to obtain a temperature parameter curve taking a temperature value as an independent variable and a pressure parameter curve taking a pressure value as an independent variable;
performing coordinate system fusion based on the temperature parameter curve and the pressure parameter curve to obtain the temperature pressure-product parameter curve, wherein a horizontal axis coordinate comprises a temperature value, a first vertical axis coordinate comprises a pressure value, and a second vertical axis coordinate is a product parameter value;
and obtaining all inflection values based on the fused coordinate system, and obtaining the maximum inflection value in the second longitudinal axis coordinate as the target inflection point.
5. The method according to claim 4, wherein the obtaining of the corresponding target parameter based on the target inflection point and the outputting of the target parameter to a user side specifically comprises:
acquiring a target temperature value based on the horizontal axis coordinate of the target inflection point;
acquiring a target pressure value based on the first longitudinal axis coordinate of the target inflection point;
obtaining a product parameter value based on a second longitudinal axis coordinate of the target inflection point;
and outputting the target temperature value, the target pressure value and the product parameter value to a user terminal.
6. The parameter adjustment method based on the production line reaction kettle as claimed in claim 4, wherein the product parameter value is obtained based on a preset calculation formula, wherein the calculation formula is
Wherein, in the step (A),
、
is a parameter factor and
，
for the value of the parameter of the product,
for the purpose of said material yield data,
and obtaining the material quality data.
7. A parameter adjusting system based on a production line reaction kettle is characterized by comprising a memory and a processor, wherein the memory comprises a parameter adjusting method program based on the production line reaction kettle, and the parameter adjusting method program based on the production line reaction kettle realizes the following steps when being executed by the processor:
in the material production process, acquiring parameter data of a reaction kettle, wherein the parameter data comprises temperature data and pressure data;
acquiring product data of finished material production, and inputting the product data and the parameter data into a preset statistical analysis model for analysis, wherein the product data comprises material yield data and material quality data;
acquiring all inflection points of the temperature pressure-product parameter curve in the product data based on the analysis result, and acquiring a target inflection point based on the inflection point;
and acquiring a corresponding target parameter based on the target inflection point, and outputting the target parameter to a user terminal, wherein the target parameter at least comprises a target temperature value and a target pressure value.
8. The system of claim 7, wherein the collecting of the parameter data of the reaction vessel comprises: in the material production process, parameter data in the reaction kettle are collected based on a preset sensor group, wherein the sensor group comprises a temperature sensor and a pressure sensor, and the sensor group is connected based on the communication of the Internet of things.
9. The system of claim 8, wherein the obtaining of the product data of the material production completion and the inputting of the product data and the parameter data into a preset statistical analysis model for analysis comprise:
acquiring material yield data and material quality data input by a user side to obtain the product data;
performing data processing operation based on the parameter data and the product data, wherein the data processing operation comprises data cleaning, data filtering and data fusion;
and taking the parameter data after data processing as independent variable factors, taking the product data after data processing as dependent variable factors, and inputting the independent variable factors and the dependent variable factors into the statistical analysis model for analysis.
10. A computer-readable storage medium, wherein the computer-readable storage medium includes a production line reactor-based parameter adjustment method program, and when the production line reactor-based parameter adjustment method program is executed by a processor, the method of adjusting a production line reactor-based parameter according to any one of claims 1 to 6 is implemented.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310135182.2A CN115826546B (en) | 2023-02-20 | 2023-02-20 | Parameter adjustment method and system based on production line reaction kettle and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310135182.2A CN115826546B (en) | 2023-02-20 | 2023-02-20 | Parameter adjustment method and system based on production line reaction kettle and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115826546A true CN115826546A (en) | 2023-03-21 |
| CN115826546B CN115826546B (en) | 2023-07-14 |
Family
ID=85521920
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310135182.2A Active CN115826546B (en) | 2023-02-20 | 2023-02-20 | Parameter adjustment method and system based on production line reaction kettle and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115826546B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116990344A (en) * | 2023-08-11 | 2023-11-03 | 江西和元安全科学技术有限公司 | Fluorination reaction heat testing method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107909204A (en) * | 2017-11-14 | 2018-04-13 | 中铝视拓智能科技有限公司 | A kind of processing parameter optimization method and device |
| CN109271753A (en) * | 2018-11-29 | 2019-01-25 | 东北大学 | The process parameter optimizing method of vanadium wastewater ammonia nitrogen recycling based on response surface analysis |
| CN109918847A (en) * | 2019-03-29 | 2019-06-21 | 华中科技大学 | The hydraulic pressing method of camellia oil based on response phase method and multi-objective genetic algorithm |
| CN111679636A (en) * | 2020-05-11 | 2020-09-18 | 杭州传化智能制造科技有限公司 | System, method and computer equipment for processing production process parameters |
-
2023
- 2023-02-20 CN CN202310135182.2A patent/CN115826546B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107909204A (en) * | 2017-11-14 | 2018-04-13 | 中铝视拓智能科技有限公司 | A kind of processing parameter optimization method and device |
| CN109271753A (en) * | 2018-11-29 | 2019-01-25 | 东北大学 | The process parameter optimizing method of vanadium wastewater ammonia nitrogen recycling based on response surface analysis |
| CN109918847A (en) * | 2019-03-29 | 2019-06-21 | 华中科技大学 | The hydraulic pressing method of camellia oil based on response phase method and multi-objective genetic algorithm |
| CN111679636A (en) * | 2020-05-11 | 2020-09-18 | 杭州传化智能制造科技有限公司 | System, method and computer equipment for processing production process parameters |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116990344A (en) * | 2023-08-11 | 2023-11-03 | 江西和元安全科学技术有限公司 | Fluorination reaction heat testing method and system |
| CN116990344B (en) * | 2023-08-11 | 2024-02-13 | 江西和元安全科学技术有限公司 | Fluorination reaction heat testing method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115826546B (en) | 2023-07-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115826546A (en) | Parameter adjusting method and system based on production line reaction kettle and readable storage medium | |
| CN101158693B (en) | Bulk production process malfunction detection method based on multiple nucleus independent elements analysis | |
| CN107908744B (en) | Anomaly detection and elimination method for big data cleaning | |
| CN109308063B (en) | Fermentation process stage division method based on score matrix | |
| CN109445422A (en) | A kind of chemical production equipment failure prediction method | |
| EP2472440B1 (en) | Method and system for diagnosis of plant status | |
| CN110261080B (en) | Heterogeneous rotary mechanical anomaly detection method and system based on multi-mode data | |
| CN116933210B (en) | Food processing filling equipment monitoring method and system based on multidimensional sensor | |
| CN110297475B (en) | Intermittent process fault monitoring method based on fourth-order moment singular value decomposition | |
| Yu et al. | Risk‐based process system monitoring using self‐organizing map integrated with loss functions | |
| CN112686433B (en) | Method, device, equipment and storage medium for predicting express quantity | |
| CN111160811B (en) | Batch process fault monitoring method based on multi-stage FOM-SAE | |
| CN112075930B (en) | Analysis early warning device, method and system based on scatter diagram and electronic equipment | |
| CN116224949B (en) | Traditional Chinese medicine formula granule production process data processing system based on artificial intelligence | |
| CN105256148B (en) | A kind of method for refining extraction platinum | |
| CN115648592A (en) | Method and system for evaluating running state of extruder and storage medium | |
| US20240202586A1 (en) | Automated Outlier Removal for Multivariate Modeling | |
| Yang et al. | Fault detection and diagnosis for plasticizing process of single-base gun propellant using mutual information weighted MPCA under limited batch samples modelling | |
| CN114300065A (en) | Method, device, equipment and storage medium for determining molecular design scheme | |
| CN114399086A (en) | Method and device for predicting yield of crude methyl chlorosilane monomers | |
| CN109635465B (en) | Batch operation track adjusting method based on TPLS model | |
| CN112860671A (en) | Production factor data abnormity diagnosis method and device | |
| CN116881672B (en) | Fault detection model training method and device, electronic equipment and storage medium | |
| CN112148730A (en) | Method for extracting product data characteristics in batches by using matrix generalized inverse | |
| CN116629240B (en) | Command checking and error correcting method for intelligent matrix type medical cleaning system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 402, Building 8, Xinyi Lingyu R&D Center, No. 26 Honglang North 2nd Road, Xingdong Community, Xin'an Street, Bao'an District, Shenzhen City, Guangdong Province, 518101 Applicant after: Shenzhen pfiter Information Technology Co.,Ltd. Address before: 518101 1901, Building 1, COFCO Chuangxin R&D Center, 69 District, Xingdong Community, Xin'an Street, Bao'an District, Shenzhen, Guangdong Applicant before: Shenzhen pfiter Information Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |